Gerald William Evans
Gerald W. Evans is Professor Emeritus in the Department of Industrial Engineering at the University of Louisville (UL). Previous positions include Industrial Engineer for the Department of the Army, and Senior Research Engineer for General Motors Research Laboratories. He has also served as an ASEE Faculty Fellow at NASA's Langley Research Center and Kennedy Space Center. Dr. Evans received his PhD in Industrial Engineering from Purdue University.
Subjects: Engineering - Industrial & Manufacturing
Biography
Gerald W. Evans is Professor Emeritus in the Department of Industrial Engineering at the University of Louisville (UL). Previous positions include Industrial Engineer for the Department of the Army, and Senior Research Engineer for General Motors Research Laboratories. He has also served as an ASEE Faculty Fellow at NASA's Langley Research Center and Kennedy Space Center.Dr. Evans received his BS in Mathematics in 1972, his MS in Industrial Engineering in 1974, and his PhD in Industrial Engineering in 1979, all from Purdue University.
Dr. Evans has served as Principal Investigator or Co-Principal Investigator on over $5 million of funded research from organizations such as the National Science Foundation, the Defense Logistics Agency, NASA, the National Institute for Hometown Security, Louisville Metro Government, General Electric, and United Parcel Services among other organizations. In addition, he has consulted in the areas of simulation modeling and analysis, project management, and economic analysis for a variety of organizations.
He has published approximately 100 papers in various journals and conference proceedings. His paper: “An Overview of Techniques for Solving Multiobjective Mathematical Programs,” published in 1984 was listed as one of the most cited publications in Management Science over the last 50 years (from the 2004 commemorative CD: Celebrating 50 years of Management Science, INFORMS Publication). In addition, his co-authored paper: S.J. Ellspermann, G.W. Evans, and M. Basadur, “The Impact of Training on the Formulation of Ill Structured Problems,” Omega 35:2, pp. 221-236, April 2007 received the 12th Annual Citation of Excellence Award as one of the top 50 management articles out of 15,000 articles published in 2007 (Emerald Management Reviews), 2008.
Dr. Evans has served as co-editor of Applications of Fuzzy Set Methodologies in Industrial Engineering (Elsevier Science Publishers, 1989), the Proceedings of the Winter Simulation Conference in 1993 and 1999, and of a special issue of Computers and Industrial Engineering entitled “Multi-Criteria Decision Making in Industrial Engineering” (November, 1999). He has also served as a referee for approximately 25 different journals, as Associate Editor for the Institute of Industrial Engineers (IIE) Transactions, as Director of the Operations Research Division of IIE, and as a Vice President of IIE.
In addition, he has directed the research of approximately 80 masters’ students and 20 doctoral students while at the University of Louisville.
Dr. Evans has received the Fellow Award and the Operations Research Division Award from IIE, the Moving Spirit Award from INFORMS for his work with the UL INFORMS Student Chapter, the Dean's Award for Outstanding Graduate Teaching; and he was a University of Louisville nominee for Outstanding Faculty of Adult Learners for Kentukiana Metroversity Inc. He is listed in American Men and Women of Science, Who's Who in Engineering, and Who's Who in America.
Education
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B.S. in Mathematics, Purdue University, 1972
M.S. in Industrial Engineering, Purdue University, 1974
PhD in Industrial Engineering, Purdue University, 1979
Areas of Research / Professional Expertise
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Areas of research/professional expertise include simulation modeling and analysis, decision analysis, optimization modeling, project management, logistics, and supple chain engineering.
Personal Interests
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Personal interests include tennis, bicycling, basketball, hiking, and reading history.
Books
Articles
Production Control in a Complex Production System Using Approximate Dynamic Prog
Published: Aug 25, 2016 by International Journal of Production Research 54: 8, 2419-2432, 2016
Authors: H. Wu, G.W. Evans, and K-H Bae
Subjects:
Business & Management, Engineering - Industrial & Manufacturing
Development of an efficient production and inventory control policy for a production system with multiple working stations, intermediate components and end products is difficult. In this paper, we consider an assembly line for dishwashers which require multiple types of wire racks that must be fabricated and coated at different work centers before supplying the assembly lines. An approximate dynamic programming (ADP) method is proposed.
Modeling and Solution of a Large Scale Vehicle Routing Problem at GE Appliances
Published: Aug 25, 2016 by International Journal of Production Research, to appear, 2016
Authors: E. Khodabandeh, L. Bai, S.S. Heragu, G.W. Evans, T. Elrod, and M.Shirkness
Subjects:
Business & Management, Computer Science & Engineering, Engineering - Industrial & Manufacturing
We consider a special case of the vehicle routing problem and propose a solution algorithm using network reduction techniques and a simulated annealing meta-heuristic. The objective is twofold: minimising the travel time and minimising the total number of vehicles required. The algorithm has helped General Electric Appliances & Lighting to significantly reduce the number of required trucks in two real cases.
Multi-Objective Optimization Models for Patient Allocation During a Pandemic Inf
Published: Nov 01, 2015 by Computers and Operations Research 51, 350-359, 2014
Authors: L. Sun, G.W. DePuy, and G.W. Evans
Subjects:
Business & Management, Engineering - Industrial & Manufacturing, Public Administration & Public Policy
Mathematical models are built to optimize the patient allocation considering two objectives related to patients’ cost of access to healthcare services: (1) minimization of the total travel distance by patients to hospitals; and (2) minimizing the maximum distance a patient travels to a hospital.
A Simulation Model with Multi-Attribute Utility functions for Energy Consumption
Published: May 01, 2015 by Energy Systems, published online 27 May, 2015
Authors: P. Khadgi, L. Bai, G.W. Evans, and Q.P. Zheng
Subjects:
Business & Management, Computer Science & Engineering, Engineering - Electrical, Engineering - Industrial & Manufacturing, Public Administration & Public Policy
We use multi-attribute utility functions, consisting of both cost and convenience factors, to model consumer behavior with respect to energy consumption for home appliances. A simulation model is developed to study a residential population consisting of heterogeneous households with varying preference of convenience over cost. The model, interfaced with the utility function, is used to study the effects of time-of-use pricing structure on users’ utility-based load shifting behaviors.
Improving Efficiency in Social Services with Discrete Event Simulation
Published: Apr 01, 2014 by Computers and Industrial Engineering 70, 159-167, 2014
Authors: R. Harpring, G.W. Evans, R. Barber, and S.M. Deck
Subjects:
Business & Management, Engineering - Industrial & Manufacturing, Public Administration & Public Policy
The Kentucky Cabinet for Health and Family Services’ main office in Louisville, Kentucky deals with hundreds of clients with various needs each day. The office provides food stamps, child care assistance, and financial support among other services. A simulation model of the intake process was developed and analyzed in order to investigate various alternatives concerning process flow, staffing, and layout.